BACKGROUND: Low levels of alcohol responses (low LRs) are genetically influenced phenotypes that are identified before alcohol dependence and predict future heavy drinking and alcohol problems. A recent paper described 13 LR-related blood oxygen level-dependent (BOLD) response contrast patterns observed during an emotional face recognition task that might reflect cognitive processes contributing to LR and that might themselves predict adverse alcohol outcomes (Paulus et al., Biol Psychiatry 2012; 72: 848). This paper evaluates the predictive implications of those functional magnetic resonance imaging (fMRI) patterns. METHODS: Of 120 subjects from Paulus and colleagues (2012), 114 (57 low and high LRs; ~50% females) were interviewed 5 years later at age 25. Correlations between baseline fMRI patterns and alcohol-related outcomes were evaluated, and regression analyses were used to determine if BOLD response contrasts incremented over LR in predicting outcomes. RESULTS: Baseline fMRI patterns in 5 of 13 baseline regions of interest correlated with adverse outcomes. Such patterns in insular regions, particularly the left anterior insula, and the right frontal gyrus, added to LR in predicting alcohol problems. The relationships remained robust when exact binomial procedures were used, but, reflecting the small sample size, it was not possible to adequately consider Bonferroni corrections. CONCLUSIONS: The data suggest that fMRI BOLD response contrasts predicted heavier drinking and alcohol problems 5 years later, even after considering baseline low LRs. Future work will focus on whether fMRI results can predict outcomes in larger samples and among young nondrinkers, as well as how the imaging results increase understanding of the processes through which LR operates.
BACKGROUND: Low levels of alcohol responses (low LRs) are genetically influenced phenotypes that are identified before alcohol dependence and predict future heavy drinking and alcohol problems. A recent paper described 13 LR-related blood oxygen level-dependent (BOLD) response contrast patterns observed during an emotional face recognition task that might reflect cognitive processes contributing to LR and that might themselves predict adverse alcohol outcomes (Paulus et al., Biol Psychiatry 2012; 72: 848). This paper evaluates the predictive implications of those functional magnetic resonance imaging (fMRI) patterns. METHODS: Of 120 subjects from Paulus and colleagues (2012), 114 (57 low and high LRs; ~50% females) were interviewed 5 years later at age 25. Correlations between baseline fMRI patterns and alcohol-related outcomes were evaluated, and regression analyses were used to determine if BOLD response contrasts incremented over LR in predicting outcomes. RESULTS: Baseline fMRI patterns in 5 of 13 baseline regions of interest correlated with adverse outcomes. Such patterns in insular regions, particularly the left anterior insula, and the right frontal gyrus, added to LR in predicting alcohol problems. The relationships remained robust when exact binomial procedures were used, but, reflecting the small sample size, it was not possible to adequately consider Bonferroni corrections. CONCLUSIONS: The data suggest that fMRI BOLD response contrasts predicted heavier drinking and alcohol problems 5 years later, even after considering baseline low LRs. Future work will focus on whether fMRI results can predict outcomes in larger samples and among young nondrinkers, as well as how the imaging results increase understanding of the processes through which LR operates.
Authors: Marc A Schuckit; Susan Tapert; Scott C Matthews; Martin P Paulus; Neil J Tolentino; Tom L Smith; Ryan S Trim; Shana Hall; Alan Simmons Journal: Alcohol Clin Exp Res Date: 2011-10-17 Impact factor: 3.455
Authors: Ryan S Trim; Alan N Simmons; Neil J Tolentino; Shana A Hall; Scott C Matthews; Shannon K Robinson; Tom L Smith; Claudia B Padula; Martin P Paulus; Susan F Tapert; Marc A Schuckit Journal: Alcohol Clin Exp Res Date: 2010-05-07 Impact factor: 3.455
Authors: Marc A Schuckit; Tom L Smith; Jelger Kalmijn; Jessica Skidmore; Peyton Clausen; Alexandra Shafir; Gretchen Saunders; Hannah Bystritsky; Kim Fromme Journal: Alcohol Clin Exp Res Date: 2015-02-06 Impact factor: 3.455
Authors: Rita Z Goldstein; A D Bud Craig; Antoine Bechara; Hugh Garavan; Anna Rose Childress; Martin P Paulus; Nora D Volkow Journal: Trends Cogn Sci Date: 2009-08-27 Impact factor: 20.229
Authors: Kelly E Courtney; Maria Alejandra Infante; Gregory G Brown; Susan F Tapert; Alan N Simmons; Tom L Smith; Marc A Schuckit Journal: Alcohol Clin Exp Res Date: 2019-03-29 Impact factor: 3.455
Authors: Marc A Schuckit; Dennis F Clarke; Tom L Smith; Lee Anne Mendoza; Lara Schoen Journal: Alcohol Clin Exp Res Date: 2020-07-16 Impact factor: 3.455
Authors: Laura E Kwako; Reza Momenan; Erica N Grodin; Raye Z Litten; George F Koob; David Goldman Journal: Neuropharmacology Date: 2017-03-07 Impact factor: 5.250
Authors: Paweł Wiśniewski; Pierre Maurage; Andrzej Jakubczyk; Elisa M Trucco; Hubert Suszek; Maciej Kopera Journal: Prog Neuropsychopharmacol Biol Psychiatry Date: 2021-07-03 Impact factor: 5.067